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The Importance of Livestock Demography and Infrastructure in Driving Foot and Mouth Disease Dynamics

Gilbertson, Kendra (author)
Colorado State Univ, CO 80523 USA
Brommesson, Peter, 1981- (author)
Linköpings universitet,Ekologisk och miljövetenskaplig modellering,Tekniska fakulteten
Minter, Amanda (author)
Univ Warwick, England; Univ Warwick, England
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Hallman, Clayton (author)
USDA APHIS Vet Serv, CO 80526 USA
Miller, Ryan S. (author)
USDA APHIS Vet Serv, CO 80526 USA
Portacci, Katie (author)
USDA APHIS Vet Serv, CO 80526 USA
Sellman, Stefan, 1984- (author)
Linköpings universitet,Ekologisk och miljövetenskaplig modellering,Tekniska fakulteten
Tildesley, Michael J. (author)
Univ Warwick, England; Univ Warwick, England
Webb, Colleen T. (author)
Colorado State Univ, CO 80523 USA
Lindström, Tom, 1977- (author)
Linköpings universitet,Ekologisk och miljövetenskaplig modellering,Tekniska fakulteten
Beck-Johnson, Lindsay M. (author)
Colorado State Univ, CO 80523 USA
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 (creator_code:org_t)
2022-10-14
2022
English.
In: Life. - : MDPI. - 2075-1729. ; 12:10
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Transboundary animal diseases, such as foot and mouth disease (FMD) pose a significant and ongoing threat to global food security. Such diseases can produce large, spatially complex outbreaks. Mathematical models are often used to understand the spatio-temporal dynamics and create response plans for possible disease introductions. Model assumptions regarding transmission behavior of premises and movement patterns of livestock directly impact our understanding of the ecological drivers of outbreaks and how to best control them. Here, we investigate the impact that these assumptions have on model predictions of FMD outbreaks in the U.S. using models of livestock shipment networks and disease spread. We explore the impact of changing assumptions about premises transmission behavior, both by including within-herd dynamics, and by accounting for premises type and increasing the accuracy of shipment predictions. We find that the impact these assumptions have on outbreak predictions is less than the impact of the underlying livestock demography, but that they are important for investigating some response objectives, such as the impact on trade. These results suggest that demography is a key ecological driver of outbreaks and is critical for making robust predictions but that understanding management objectives is also important when making choices about model assumptions.

Subject headings

NATURVETENSKAP  -- Biologi -- Evolutionsbiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Evolutionary Biology (hsv//eng)

Keyword

foot and mouth disease; livestock demography; model assumptions; cattle shipment networks; outbreak simulation

Publication and Content Type

ref (subject category)
art (subject category)

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